Literature DB >> 24778220

Controllability in protein interaction networks.

Stefan Wuchty1.   

Abstract

Recently, the focus of network research shifted to network controllability, prompting us to determine proteins that are important for the control of the underlying interaction webs. In particular, we determined minimum dominating sets of proteins (MDSets) in human and yeast protein interaction networks. Such groups of proteins were defined as optimized subsets where each non-MDSet protein can be reached by an interaction from an MDSet protein. Notably, we found that MDSet proteins were enriched with essential, cancer-related, and virus-targeted genes. Their central position allowed MDSet proteins to connect protein complexes and to have a higher impact on network resilience than hub proteins. As for their involvement in regulatory functions, MDSet proteins were enriched with transcription factors and protein kinases and were significantly involved in bottleneck interactions, regulatory links, phosphorylation events, and genetic interactions.

Entities:  

Mesh:

Substances:

Year:  2014        PMID: 24778220      PMCID: PMC4024882          DOI: 10.1073/pnas.1311231111

Source DB:  PubMed          Journal:  Proc Natl Acad Sci U S A        ISSN: 0027-8424            Impact factor:   11.205


  29 in total

1.  Systematic discovery of in vivo phosphorylation networks.

Authors:  Rune Linding; Lars Juhl Jensen; Gerard J Ostheimer; Marcel A T M van Vugt; Claus Jørgensen; Ioana M Miron; Francesca Diella; Karen Colwill; Lorne Taylor; Kelly Elder; Pavel Metalnikov; Vivian Nguyen; Adrian Pasculescu; Jing Jin; Jin Gyoon Park; Leona D Samson; James R Woodgett; Robert B Russell; Peer Bork; Michael B Yaffe; Tony Pawson
Journal:  Cell       Date:  2007-06-14       Impact factor: 41.582

2.  Human cancer protein-protein interaction network: a structural perspective.

Authors:  Gozde Kar; Attila Gursoy; Ozlem Keskin
Journal:  PLoS Comput Biol       Date:  2009-12-11       Impact factor: 4.475

3.  CORUM: the comprehensive resource of mammalian protein complexes--2009.

Authors:  Andreas Ruepp; Brigitte Waegele; Martin Lechner; Barbara Brauner; Irmtraud Dunger-Kaltenbach; Gisela Fobo; Goar Frishman; Corinna Montrone; H-Werner Mewes
Journal:  Nucleic Acids Res       Date:  2009-11-01       Impact factor: 16.971

4.  The genetic landscape of a cell.

Authors:  Michael Costanzo; Anastasia Baryshnikova; Jeremy Bellay; Yungil Kim; Eric D Spear; Carolyn S Sevier; Huiming Ding; Judice L Y Koh; Kiana Toufighi; Sara Mostafavi; Jeany Prinz; Robert P St Onge; Benjamin VanderSluis; Taras Makhnevych; Franco J Vizeacoumar; Solmaz Alizadeh; Sondra Bahr; Renee L Brost; Yiqun Chen; Murat Cokol; Raamesh Deshpande; Zhijian Li; Zhen-Yuan Lin; Wendy Liang; Michaela Marback; Jadine Paw; Bryan-Joseph San Luis; Ermira Shuteriqi; Amy Hin Yan Tong; Nydia van Dyk; Iain M Wallace; Joseph A Whitney; Matthew T Weirauch; Guoqing Zhong; Hongwei Zhu; Walid A Houry; Michael Brudno; Sasan Ragibizadeh; Balázs Papp; Csaba Pál; Frederick P Roth; Guri Giaever; Corey Nislow; Olga G Troyanskaya; Howard Bussey; Gary D Bader; Anne-Claude Gingras; Quaid D Morris; Philip M Kim; Chris A Kaiser; Chad L Myers; Brenda J Andrews; Charles Boone
Journal:  Science       Date:  2010-01-22       Impact factor: 47.728

5.  High-quality binary protein interaction map of the yeast interactome network.

Authors:  Haiyuan Yu; Pascal Braun; Muhammed A Yildirim; Irma Lemmens; Kavitha Venkatesan; Julie Sahalie; Tomoko Hirozane-Kishikawa; Fana Gebreab; Na Li; Nicolas Simonis; Tong Hao; Jean-François Rual; Amélie Dricot; Alexei Vazquez; Ryan R Murray; Christophe Simon; Leah Tardivo; Stanley Tam; Nenad Svrzikapa; Changyu Fan; Anne-Sophie de Smet; Adriana Motyl; Michael E Hudson; Juyong Park; Xiaofeng Xin; Michael E Cusick; Troy Moore; Charlie Boone; Michael Snyder; Frederick P Roth; Albert-László Barabási; Jan Tavernier; David E Hill; Marc Vidal
Journal:  Science       Date:  2008-08-21       Impact factor: 47.728

6.  CancerGenes: a gene selection resource for cancer genome projects.

Authors:  Maureen E Higgins; Martine Claremont; John E Major; Chris Sander; Alex E Lash
Journal:  Nucleic Acids Res       Date:  2006-11-06       Impact factor: 16.971

7.  NetworKIN: a resource for exploring cellular phosphorylation networks.

Authors:  Rune Linding; Lars Juhl Jensen; Adrian Pasculescu; Marina Olhovsky; Karen Colwill; Peer Bork; Michael B Yaffe; Tony Pawson
Journal:  Nucleic Acids Res       Date:  2007-11-02       Impact factor: 16.971

8.  Why do hubs in the yeast protein interaction network tend to be essential: reexamining the connection between the network topology and essentiality.

Authors:  Elena Zotenko; Julian Mestre; Dianne P O'Leary; Teresa M Przytycka
Journal:  PLoS Comput Biol       Date:  2008-08-01       Impact factor: 4.475

9.  Global topological features of cancer proteins in the human interactome.

Authors:  Pall F Jonsson; Paul A Bates
Journal:  Bioinformatics       Date:  2006-07-14       Impact factor: 6.937

10.  Up-to-date catalogues of yeast protein complexes.

Authors:  Shuye Pu; Jessica Wong; Brian Turner; Emerson Cho; Shoshana J Wodak
Journal:  Nucleic Acids Res       Date:  2008-12-18       Impact factor: 16.971

View more
  57 in total

1.  Input graph: the hidden geometry in controlling complex networks.

Authors:  Xizhe Zhang; Tianyang Lv; Yuanyuan Pu
Journal:  Sci Rep       Date:  2016-11-30       Impact factor: 4.379

Review 2.  The foundations of plant intelligence.

Authors:  Anthony Trewavas
Journal:  Interface Focus       Date:  2017-04-21       Impact factor: 3.906

3.  Predicting perturbation patterns from the topology of biological networks.

Authors:  Marc Santolini; Albert-László Barabási
Journal:  Proc Natl Acad Sci U S A       Date:  2018-06-20       Impact factor: 11.205

4.  Collective influencers in protein interaction networks.

Authors:  T A Boltz; P Devkota; Stefan Wuchty
Journal:  Sci Rep       Date:  2019-03-08       Impact factor: 4.379

5.  Harnessing tipping points in complex ecological networks.

Authors:  Junjie Jiang; Alan Hastings; Ying-Cheng Lai
Journal:  J R Soc Interface       Date:  2019-09-11       Impact factor: 4.118

6.  Controlling Directed Protein Interaction Networks in Cancer.

Authors:  Krishna Kanhaiya; Eugen Czeizler; Cristian Gratie; Ion Petre
Journal:  Sci Rep       Date:  2017-09-04       Impact factor: 4.379

7.  Controllability analysis of the directed human protein interaction network identifies disease genes and drug targets.

Authors:  Arunachalam Vinayagam; Travis E Gibson; Ho-Joon Lee; Bahar Yilmazel; Charles Roesel; Yanhui Hu; Young Kwon; Amitabh Sharma; Yang-Yu Liu; Norbert Perrimon; Albert-László Barabási
Journal:  Proc Natl Acad Sci U S A       Date:  2016-04-18       Impact factor: 11.205

8.  Proteome Data Improves Protein Function Prediction in the Interactome of Helicobacter pylori.

Authors:  Stefan Wuchty; Stefan A Müller; J Harry Caufield; Roman Häuser; Patrick Aloy; Stefan Kalkhof; Peter Uetz
Journal:  Mol Cell Proteomics       Date:  2018-02-01       Impact factor: 5.911

9.  Crosstalk between pathways enhances the controllability of signalling networks.

Authors:  Dingjie Wang; Suoqin Jin; Xiufen Zou
Journal:  IET Syst Biol       Date:  2016-02       Impact factor: 1.615

10.  Quantifying the Importance of Firms by Means of Reputation and Network Control.

Authors:  Yan Zhang; Frank Schweitzer
Journal:  Front Big Data       Date:  2021-06-16
View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.